@article{MAKHILLJEAS20105413188,
    title = {ZKIP and Mutual Information as Measure on Image Analysis},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {5},
    number = {4},
    pages = {290-295},
    year = {2010},
    issn = {1816-949x},
    doi = {jeasci.2010.290.295},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2010.290.295},
    author = {M. and},
    keywords = {statistical zero knowledge,mutual information,similarity measure,texture,Image segmentation,interactive protocol},
    abstract = {The researchers try to extract the component image virtually hidden in the principle image. Information theoretic quantities are used to measure similarity of images in a statistical frame work. Statistical method describes the texture in a form suitable for statistical pattern recognition. This is suggested from large primitives and fine structure of smaller primitives. Co-occurrence matrix method is used to edge frequency detection and separation. Here, we appeal to the mutual information to bring out the component image from a complete image presentation by statistical zero knowledge interactive protocol (statistical ZKIP).}
    }